I'm not sure what you mean? When reducing data from a single-chip camera, then only some processes are multi-threaded, such as astrometry, sky modeling and coaddition. If you reduce data from a multi-chip camera, then the data from the chips will be equally distributed amongst the available CPUs.

not all processes can be fully parallelised. Step 2 has a full CPU load because each CPU can resample data from the chip assigned to it independently from the other CPUs.At step 3 all the resampled images are read and combined into the output image. I guess this is a more sequential progress. I remember Emmanuel Bertin mentioning that this part of Swarp is more difficult to multi-thread.

You can cook 10 chicken at the same time, but you can only eat them one after the other.

I see three CPUs at 100%. Not all parts of Scamp are fully parallelised. The initial matching with the WCS is fully multi-threaded, the calculation of the higher order distortions is only partially multi-threaded.

mischa hat geschrieben:I see three CPUs at 100%. Not all parts of Scamp are fully parallelised. The initial matching with the WCS is fully multi-threaded, the calculation of the higher order distortions is only partially multi-threaded.